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Ex vivo drug testing of patient-derived lung organoids to predict treatment responses for personalized medicine.
Taverna, Josephine A; Hung, Chia-Nung; Williams, Madison; Williams, Ryan; Chen, Meizhen; Kamali, Samaneh; Sambandam, Vaishnavi; Hsiang-Ling Chiu, Cheryl; Osmulski, Pawel A; Gaczynska, Maria E; DeArmond, Daniel T; Gaspard, Christine; Mancini, Maria; Kusi, Meena; Pandya, Abhishek N; Song, Lina; Jin, Lingtao; Schiavini, Paolo; Chen, Chun-Liang.
Affiliation
  • Taverna JA; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA; Mays Cancer Center, University of Texas Health Science Center, San Antonio, TX, USA; Department of Medicine, Division of Hematology and Oncology, University of Texas Health Science Center, San Antonio,
  • Hung CN; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Williams M; Mays Cancer Center, University of Texas Health Science Center, San Antonio, TX, USA; Department of Medicine, Division of Hematology and Oncology, University of Texas Health Science Center, San Antonio, TX, USA; Department of General Oncology, Division of Cancer Medicine, The University of Texas MD A
  • Williams R; Mays Cancer Center, University of Texas Health Science Center, San Antonio, TX, USA; Department of Medicine, Division of Hematology and Oncology, University of Texas Health Science Center, San Antonio, TX, USA; Department of General Oncology, Division of Cancer Medicine, The University of Texas MD A
  • Chen M; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Kamali S; Champions Oncology, Inc., Hackensack, NJ, USA.
  • Sambandam V; Champions Oncology, Inc., Hackensack, NJ, USA.
  • Hsiang-Ling Chiu C; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Osmulski PA; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Gaczynska ME; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • DeArmond DT; Department of Medicine, Division of Hematology and Oncology, University of Texas Health Science Center, San Antonio, TX, USA; Department of General Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Cardiothoracic Surgery, Univer
  • Gaspard C; Dolph Briscoe, Jr. Library, University of Texas Health Science Center, San Antonio, TX, USA.
  • Mancini M; Champions Oncology, Inc., Hackensack, NJ, USA.
  • Kusi M; Deciphera Pharmaceuticals, LLC., Waltham, MA, USA.
  • Pandya AN; Department of Medicine, Division of Hematology and Oncology, University of Texas Health Science Center, San Antonio, TX, USA.
  • Song L; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Jin L; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
  • Schiavini P; Champions Oncology, Inc., Hackensack, NJ, USA.
  • Chen CL; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX, USA; Mays Cancer Center, University of Texas Health Science Center, San Antonio, TX, USA; School of Nursing, University of Texas Health Science Center, San Antonio, TX, USA. Electronic address: chenc4@uthsc
Lung Cancer ; 190: 107533, 2024 04.
Article in En | MEDLINE | ID: mdl-38520909
ABSTRACT
Lung cancer is the leading cause of global cancer-related mortality resulting in âˆ¼ 1.8 million deaths annually. Systemic, molecular targeted, and immune therapies have provided significant improvements of survival outcomes for patients. However, drug resistance usually arises and there is an urgent need for novel therapy screening and personalized medicine. 3D patient-derived organoid (PDO) models have emerged as a more effective and efficient alternative for ex vivo drug screening than 2D cell culture and patient-derived xenograft (PDX) models. In this review, we performed an extensive search of lung cancer PDO-based ex vivo drug screening studies. Lung cancer PDOs were successfully established from fresh or bio-banked sections and/or biopsies, pleural effusions and PDX mouse models. PDOs were subject to ex vivo drug screening with chemotherapy, targeted therapy and/or immunotherapy. PDOs consistently recapitulated the genomic alterations and drug sensitivity of primary tumors. Although sample sizes of the previous studies were limited and some technical challenges remain, PDOs showed great promise in the screening of novel therapy drugs. With the technical advances of high throughput, tumor-on-chip, and combined microenvironment, the drug screening process using PDOs will enhance precision care of lung cancer patients.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lung Neoplasms / Antineoplastic Agents Limits: Animals / Humans Language: En Journal: Lung Cancer / Lung cancer Journal subject: NEOPLASIAS Year: 2024 Document type: Article Country of publication: Irlanda

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lung Neoplasms / Antineoplastic Agents Limits: Animals / Humans Language: En Journal: Lung Cancer / Lung cancer Journal subject: NEOPLASIAS Year: 2024 Document type: Article Country of publication: Irlanda